Q.-X. Li

663 total citations
10 papers, 386 citations indexed

About

Q.-X. Li is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Q.-X. Li has authored 10 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Q.-X. Li's work include Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Q.-X. Li is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Q.-X. Li collaborates with scholars based in Australia, Germany and Singapore. Q.-X. Li's co-authors include Colin L. Masters, Konrad Beyreuther, Catriona McLean, Elsdon Storey, A. Ian Smith, Stephanie Fuller, Javier Sáez‐Valero, Janetta G. Culvenor, Colin L. Masters and Christian Czech and has published in prestigious journals such as Biochemistry, Annals of Neurology and Journal of Neurochemistry.

In The Last Decade

Q.-X. Li

9 papers receiving 380 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Q.-X. Li Australia 7 206 138 110 108 102 10 386
Hedvig Welander Sweden 10 352 1.7× 191 1.4× 94 0.9× 81 0.8× 95 0.9× 13 465
Victoria García‐Morales Spain 8 141 0.7× 162 1.2× 94 0.9× 101 0.9× 58 0.6× 17 432
S. Ipsen Switzerland 6 262 1.3× 124 0.9× 77 0.7× 94 0.9× 81 0.8× 8 337
Megan Larson United States 4 317 1.5× 157 1.1× 87 0.8× 69 0.6× 56 0.5× 5 406
Mee‐Sook Song Canada 10 206 1.0× 145 1.1× 133 1.2× 109 1.0× 44 0.4× 12 437
Nima Naseri United States 8 230 1.1× 188 1.4× 82 0.7× 69 0.6× 63 0.6× 10 456
Ronit Shaltiel‐Karyo Israel 11 232 1.1× 213 1.5× 94 0.9× 69 0.6× 161 1.6× 14 491
Anna Oczkowska Poland 7 184 0.9× 194 1.4× 109 1.0× 45 0.4× 148 1.5× 13 496
Ola Philipson Sweden 9 294 1.4× 183 1.3× 91 0.8× 50 0.5× 55 0.5× 9 417
Malin Johannesson Sweden 11 350 1.7× 165 1.2× 108 1.0× 135 1.3× 138 1.4× 16 595

Countries citing papers authored by Q.-X. Li

Since Specialization
Citations

This map shows the geographic impact of Q.-X. Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Q.-X. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Q.-X. Li more than expected).

Fields of papers citing papers by Q.-X. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Q.-X. Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Q.-X. Li. The network helps show where Q.-X. Li may publish in the future.

Co-authorship network of co-authors of Q.-X. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Q.-X. Li. A scholar is included among the top collaborators of Q.-X. Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Q.-X. Li. Q.-X. Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Eratne, Dhamidhu, Samantha M. Loi, Q.-X. Li, et al.. (2021). Cerebrospinal fluid neurofilament light predicts the rate of executive function decline in younger-onset dementia. Journal of the Neurological Sciences. 432. 120088–120088. 3 indexed citations
3.
Burnham, Samantha C., Preciosa M. Coloma, Q.-X. Li, et al.. (2019). Application of the NIA-AA Research Framework: Towards a Biological Definition of Alzheimer's Disease using Cerebrospinal Fluid Biomarkers in the AIBL Study. The Journal of Prevention of Alzheimer s Disease. 6(4). 248–255. 26 indexed citations
4.
Lim, Nastasia K.-H., Lin W. Hung, Terence Y. Pang, et al.. (2014). Localized changes to glycogen synthase kinase-3 and collapsin response mediator protein-2 in the Huntington's disease affected brain. Human Molecular Genetics. 23(15). 4051–4063. 41 indexed citations
5.
Bye, Christopher R., Clare L. Parish, Sonia George, et al.. (2009). Dopamine D 2 receptor knockout mice develop features of Parkinson disease. Annals of Neurology. 66(4). 472–484. 38 indexed citations
6.
Koh, Chor Hui Vivien, Matthew Whiteman, Q.-X. Li, et al.. (2006). Chronic exposure to U18666A is associated with oxidative stress in cultured murine cortical neurons. Journal of Neurochemistry. 98(4). 1278–1289. 41 indexed citations
7.
Bayer, Thomas A., Pekka Jäkälä, Tobias Hartmann, et al.. (1999). α-Synuclein accumulates in Lewy bodies in Parkinson's disease and dementia with Lewy bodies but not in Alzheimer's disease β-amyloid plaque cores. Neuroscience Letters. 266(3). 213–216. 75 indexed citations
8.
Sberna, Gian, Javier Sáez‐Valero, Q.-X. Li, et al.. (1998). Acetylcholinesterase Is Increased in the Brains of Transgenic Mice Expressing the C‐Terminal Fragment (CT100) of the β‐Amyloid Protein Precursor of Alzheimer's Disease. Journal of Neurochemistry. 71(2). 723–731. 89 indexed citations
9.
Fuller, Stephanie, Elsdon Storey, Q.-X. Li, et al.. (1995). Intracellular Production of .beta.A4 Amyloid of Alzheimer's Disease: Modulation by Phosphoramidon and Lack of Coupling to the Secretion of the Amyloid Precursor Protein. Biochemistry. 34(25). 8091–8098. 72 indexed citations
10.
Bush, Ashley I., Timothy G. Williamson, Robert D. Moir, et al.. (1992). Plasma amyloid precursor protein is a marker for alzheimer’s disease. Pathology. 24. 24–24. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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